OptimizeDataset

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public final class OptimizeDataset

Creates a dataset by applying optimizations to `input_dataset`.

Creates a dataset by applying optimizations to `input_dataset`.

Nested Classes

class OptimizeDataset.Options Optional attributes for OptimizeDataset  

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<TType>
asOutput()
Returns the symbolic handle of the tensor.
static OptimizeDataset
create(Scope scope, Operand<?> inputDataset, Operand<TString> optimizations, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, Options... options)
Factory method to create a class wrapping a new OptimizeDataset operation.
Output<?>
handle()
static OptimizeDataset.Options
optimizationConfigs(List<String> optimizationConfigs)

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "OptimizeDataset"

Public Methods

public Output<TType> asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static OptimizeDataset create (Scope scope, Operand<?> inputDataset, Operand<TString> optimizations, List<Class<? extends TType>> outputTypes, List<Shape> outputShapes, Options... options)

Factory method to create a class wrapping a new OptimizeDataset operation.

Parameters
scope current scope
inputDataset A variant tensor representing the input dataset.
optimizations A tf.string vector tf.Tensor identifying optimizations to use.
options carries optional attributes values
Returns
  • a new instance of OptimizeDataset

public Output<?> handle ()

public static OptimizeDataset.Options optimizationConfigs (List<String> optimizationConfigs)